中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Partitioning global land evapotranspiration using CMIP5 models constrained by observations

文献类型:期刊论文

作者Zhang, YQ (Zhang, Yongqiang)6; Wang, T (Wang, Tao)3,4; Lian, X (Lian, Xu)2; Piao, SL (Piao, Shilong)2,3,4; Huntingford, C (Huntingford, Chris)1; Li, Y (Li, Yue)2; Zeng, ZZ (Zeng, Zhenzhong)2; Wang, XH (Wang, Xuhui)2; Ciais, P (Ciais, Philippe)5; McVicar, TR (McVicar, Tim R.)6,7
刊名NATURE CLIMATE CHANGE
出版日期2018-07-01
卷号8期号:7页码:640-646
关键词Terrestrial Water Fluxes Plant Rooting Depth Climate Impacts Transpiration Carbon Vegetation Forest Sensitivity Evaporation Radiation
ISSN号1758-678X
DOI10.1038/s41558-018-0207-9
英文摘要

The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface-atmosphere interactions. However, its magnitude remains highly uncertain at the global scale. Here we apply an emergent constraint approach that integrates CMIP5 Earth system models (ESMs) with 33 field T/ET measurements to re-estimate the global T/ET value. Our observational constraint strongly increases the original ESM estimates (0.41 +/- 0.11) and greatly alleviates intermodel discrepancy, which leads to a new global T/ET estimate of 0.62 +/- 0.06. For all the ESMs, the leaf area index is identified as the primary driver of spatial variations of T/ET, but to correct its bias generates a larger T/ET underestimation than the original ESM output. We present evidence that the ESM underestimation of T/ET is, instead, attributable to inaccurate representation of canopy light use, interception loss and root water uptake processes in the ESMs. These processes should be prioritized to reduce model uncertainties in the global hydrological cycle.

WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000440200100026
出版者NATURE PUBLISHING GROUP
源URL[http://ir.itpcas.ac.cn/handle/131C11/8607]  
专题青藏高原研究所_图书馆
作者单位1.Ctr Ecol & Hydrol, Wallingford, Oxon, England;
2.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing, Peoples R China;
3.Chinese Acad Sci, Key Lab Alpine Ecol & Biodivers, Inst Tibetan Plateau Res, Beijing, Peoples R China;
4.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China;
5.CEA CNRS UVSQ, LSCE, Gif Sur Yvette, France;
6.CSIRO Land & Water, Canberra, ACT, Australia;
7.Australian Res Council, Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia;
8.Tsinghua Univ, State Key Lab Hydrosci & Engn, Dept Hydraul Engn, Beijing, Peoples R China.
推荐引用方式
GB/T 7714
Zhang, YQ ,Wang, T ,Lian, X ,et al. Partitioning global land evapotranspiration using CMIP5 models constrained by observations[J]. NATURE CLIMATE CHANGE,2018,8(7):640-646.
APA Zhang, YQ .,Wang, T .,Lian, X .,Piao, SL .,Huntingford, C .,...&Yang, YT .(2018).Partitioning global land evapotranspiration using CMIP5 models constrained by observations.NATURE CLIMATE CHANGE,8(7),640-646.
MLA Zhang, YQ ,et al."Partitioning global land evapotranspiration using CMIP5 models constrained by observations".NATURE CLIMATE CHANGE 8.7(2018):640-646.

入库方式: OAI收割

来源:青藏高原研究所

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